Multi-agent orchestration
Composed planner, tool, and worker agents with policies, retries, and routing - implemented natively in your repo.
PlatformDeploy in 2 weeks
Multi-Agent Architecture
A reference architecture for production multi-agent systems - implemented in your stack.
Senior engineers implement a battle-tested orchestration pattern inside your AWS, Azure, or GCP account - planner, tool, and worker agents with evals, tracing, and observability wired in. You own the code; we ship it production-ready.
Self-hostedAWS · Azure · GCPAudit-traced
2 weeksFrom kickoff to first production deploy99.99%Platform uptime in production
In production
From kickoff to first production deploy2 weeks
Platform uptime in production99.99%
Production agents shipped on this pattern300+
Integrations
AWS BedrockAzure AI FoundryGCP VertexSnowflakeDatabricksDatadogOpenTelemetry
Median deploy: 2 weeks
Capabilities
Everything Multi-Agent Architecture ships with - production-grade, day one.
Tools & memory
Wired into your APIs, knowledge bases, and persistent memory with first-class telemetry.
Evals & guardrails
Eval harness, golden sets, regression suites, and policy guardrails on every action - gated in your CI.
Tracing & observability
Per-action traces, cost telemetry, and live dashboards integrated with your APM stack.
Deploy
From kickoff to production in 2 weeks.
Every solution comes with a calibrated eval suite, runbooks, and integration guides - so your team can take ownership from day one. Self-hosted, hybrid, or fully managed.
- 1Kickoff & calibration
Align on data, integrations, and policy. Calibrate the eval golden set.
- 2Connect & configure
Wire integrations, configure tools, and stand up the runtime in your cloud.
- 3Shadow & ship
Shadow on live traffic, ramp on evals, and ship to production with rollback.
FAQs
Answers your buyers, security teams, and engineers ask.
Do we own the code?
Yes. The architecture is implemented inside your AWS, Azure, or GCP account - your team owns every line. No data leaves your perimeter and there's no Techimax-hosted runtime in the path.
Which model providers are supported?
Anthropic, OpenAI, Mistral, Llama, and any provider behind your gateway. Provider routing and fallbacks are first-class.
Free working session with a forward-deployed engineer
Show us the problem. We'll send back a written plan to fix it.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
- Workflow map
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
- Velocity diagnostic
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
- Risk & rescue read
An honest view of what your team has already vibe-coded and what it needs to survive production.
- Architecture sketch
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
60-minute working sessionSenior forward-deployed engineerTwo follow-ups + written summaryFree of charge for qualified businesses
Most teams walk away with a fixed-scope plan in a single session.
Book your free assessment
Reserve a 60-minute working session with a senior AI engineer and practice lead.